Optimizing Soil Moisture Retrieval: Utilizing Compact Polarimetric Features with Advanced Machine Learning Techniques

Optimizing Soil Moisture Retrieval: Utilizing Compact Polarimetric Features with Advanced Machine Learning Techniques

Soil moisture plays a crucial role in various environmental processes and is essential for agricultural management, hydrological modeling, and climate studies. Synthetic Aperture Radar (SAR) remote sensing presents significant potential for estimating soil moisture due to its ability to operate in a...

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Bibliographic Details
Main Authors: Mohammed Dabboor, Ghada Atteia, Rana Alnashwan
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Land
Subjects:
soil moisture
SAR
compact polarimetry
machine learning
Online Access:https://www.mdpi.com/2073-445X/12/10/1861

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